Design of RPA sales account verification robot based on XGBoost fusion algorithm
In response to the problem of insufficient accuracy in automatic reconciliation of sales accounts using existing RPA ro-bots,a design of RPA sales account verification robot based on XGBoost fusion algorithm is proposed,with a focus on designing the fusion algorithm of XGBoost.In the XGBoost fusion algorithm,data clustering is performed using multi-layer sampled OPTICS to ex-plore the subordinate relationships in financial data,improve data logic,and XGBoost classifies data based on the class cluster infor-mation output by OPTICS to reduce XGBoost's dependence on the training process;In the RPA sales account verification robot,the sales accounts are named in the standard form of time and content,then classified using XGBoost fusion algorithm,and finally com-pared through Pandas.The experimental results show that the XGBoost fusion algorithm has high accuracy in financial data classifica-tion and sales account classification;The RPA sales account verification robot can automatically verify sales accounts according to the set cycle,and the verification accuracy is high,which basically meets the design requirements and has a certain driving effect on the digital transformation of enterprise finance.
RPAfinancial data processingOPTICS clustering algorithmXGBoost algorithm
万方数据
维普
